A future of automated image contouring with machine learning in radiation therapy
Price Jackson, Tomas Kron, Nicholas Hardcastle
Journal of Medical Radiation Sciences | WILEY | Published : 2019
Automated image contouring is showing improvements in efficiency for a number of clinical tasks in radiotherapy. While atlas segmentation has proven moderately beneficial, the next generation of algorithms based on convolutional neural networks is already pointing to improvements in precision and efficiency. This work provides a broad overview of the benefits of machine learning when applied to these tasks.
Tomas Kron and Nicholas Hardcastle both "received funding from Varian Medical Systems for an unrelated project."